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Статті в журналах з теми "Musical analysis"
Yanuar, Dani. "Interaksi musikal dalam pertunjukan Kesenian Topeng Betawi." Dewa Ruci: Jurnal Pengkajian dan Penciptaan Seni 14, no. 1 (July 17, 2019): 10–18. http://dx.doi.org/10.33153/dewaruci.v14i1.2532.
Повний текст джерелаVukićević, Nataša M. "НАСТАВА МУЗИЧКЕ КУЛТУРЕ И ПОЗИТИВНО ОБРАЗОВАЊЕ – ОД ДОЖИВЉАЈА ДО ИСХОДА У ОБЛАСТИ МУЗИЧКОГ СТВАРАЛАШТВА И СЛУШАЊА МУЗИКЕ". Узданица XX, № 3 (2023): 241–56. http://dx.doi.org/10.46793/uzdanica20.s.241v.
Повний текст джерелаKharlov, Andrei Vladimirovich. "INCANTATIONS: MUSICAL APPROACH TO NON-MUSICAL GENRES ANALYSIS." Manuscript, no. 4 (April 2019): 141–45. http://dx.doi.org/10.30853/manuscript.2019.4.29.
Повний текст джерелаXu, Yexiaxin. "Social Media Marketing Strategy in Chinese Musical Theatre Industry." Communication, Society and Media 6, no. 4 (October 21, 2023): p15. http://dx.doi.org/10.22158/csm.v6n4p15.
Повний текст джерелаDas, Joanna Dee, and Ryan Donovan. "Special Issue: Dance in musical theatre." Studies in Musical Theatre 13, no. 1 (March 1, 2019): 3–7. http://dx.doi.org/10.1386/smt.13.1.3_2.
Повний текст джерелаEdgar, Andrew. "Adorno and Musical Analysis." Journal of Aesthetics and Art Criticism 57, no. 4 (1999): 439. http://dx.doi.org/10.2307/432150.
Повний текст джерелаEDGAR, ANDREW. "Adorno and Musical Analysis." Journal of Aesthetics and Art Criticism 57, no. 4 (September 1, 1999): 439–50. http://dx.doi.org/10.1111/1540_6245.jaac57.4.0439.
Повний текст джерелаDeBellis, Mark. "Musical Analysis as Articulation." Journal of Aesthetics and Art Criticism 60, no. 2 (May 2002): 119–35. http://dx.doi.org/10.1111/1540-6245.00060.
Повний текст джерелаJenkins, J. Daniel. "The Early Years of the American Musical in Vienna." Journal of Austrian-American History 6, no. 1 (May 18, 2022): 89–103. http://dx.doi.org/10.5325/jaustamerhist.6.1.0089.
Повний текст джерелаRigopoulou, Faye. "Still Here? Aging Female Vocalities in Musical Theatre." IASPM Journal 14, no. 1 (March 18, 2024): 113–33. http://dx.doi.org/10.5429/2079-3871(2024)v14i1.8en.
Повний текст джерелаДисертації з теми "Musical analysis"
Lascabettes, Paul. "Mathematical Models for the Discovery of Musical Patterns, Structures and for Performances Analysis." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS578.
Повний текст джерелаThe purpose of this thesis is to provide mathematical models for the understanding and analysis of symbolic representations of music. In particular, this thesis is divided into three parts. How to discover musical patterns? How are these patterns organized within the musical structure? And finally, how are these patterns performed during musical performance? First, this thesis focuses on the musical pattern discovery task. Previous work identifies two different approaches: the sequential and geometric approaches. We propose a method for each of these two approaches. We propose a method for developing the multidimensional approach. In particular, we show that the theory of mathematical morphology is well suited to the geometrical approach, making it possible to obtain mathematical results for the discovery of musical patterns. In the second part, we focus on the musical segmentation task. We propose a method based on homogeneity and one based on repetition, which are the two main features to be studied in order to discover the segmentation of a piece. The homogeneity-based method uses morphological filters to detect blocks on the diagonal of the self-similarity matrix. We also develop a method based on almost repetition without overlaps to obtain the hierarchical segmentation of a musical piece. The third part is dedicated to the computational models for music performances. We focus on the MazurkaBL dataset, which contains annotations of over 2000 recorded performances of 46 Chopin Mazurkas. To analyze this dataset, we propose to represent a musical performance in a 2-simplex, allowing us to characterize and interpret the expressivity of a performance. Then, we show how the theory of optimal transport can be used to compare musical performances
Chai, Wei 1972. "Automated analysis of musical structure." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33878.
Повний текст джерелаIncludes bibliographical references (p. 93-96).
Listening to music and perceiving its structure is a fairly easy task for humans, even for listeners without formal musical training. For example, we can notice changes of notes, chords and keys, though we might not be able to name them (segmentation based on tonality and harmonic analysis); we can parse a musical piece into phrases or sections (segmentation based on recurrent structural analysis); we can identify and memorize the main themes or the catchiest parts - hooks - of a piece (summarization based on hook analysis); we can detect the most informative musical parts for making certain judgments (detection of salience for classification). However, building computational models to mimic these processes is a hard problem. Furthermore, the amount of digital music that has been generated and stored has already become unfathomable. How to efficiently store and retrieve the digital content is an important real-world problem. This dissertation presents our research on automatic music segmentation, summarization and classification using a framework combining music cognition, machine learning and signal processing. It will inquire scientifically into the nature of human perception of music, and offer a practical solution to difficult problems of machine intelligence for automatic musical content analysis and pattern discovery.
(cont.) Specifically, for segmentation, an HMM-based approach will be used for key change and chord change detection; and a method for detecting the self-similarity property using approximate pattern matching will be presented for recurrent structural analysis. For summarization, we will investigate the locations where the catchiest parts of a musical piece normally appear and develop strategies for automatically generating music thumbnails based on this analysis. For musical salience detection, we will examine methods for weighting the importance of musical segments based on the confidence of classification. Two classification techniques and their definitions of confidence will be explored. The effectiveness of all our methods will be demonstrated by quantitative evaluations and/or human experiments on complex real-world musical stimuli.
by Wei Chai.
Ph.D.
LaFleur, Brandon Kyle. "Musical Colors| On Establishing a Methodology for Color Applications in Musical Analysis." Thesis, University of Louisiana at Lafayette, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10271870.
Повний текст джерелаThis thesis explores the potential advantages of incorporating color into musical analysis and musical concepts into art analysis. Music and the visual arts are vehicles of expression using two different perceptible waves as a medium. By comparing the physical attributes of these waves, analogous terminology between the disciplines is highlighted. Terminology parallels allow us to identify relationships between musical ideas and sonorities and color theory concepts and color harmonies. Cross-modal relationships have been explored in synesthetically inspired works in both disciplines. In Scriabin?s Prometheus, the luce presents the colors to the audience. These colors emphasize the harmonic, formal, and mystical elements of the piece. Messiaen?s Des Canyons aux etoiles features chords that were specifically included to paint the colors of the places he had visited. Sonata No. 6 by Ciurlionis is a painting that includes the three major sections of sonata form with the color changes to match. Symphony verte by Valensi includes complex structural variations and the various shading and saturations found in the timbral diversity of a symphony. Accounting for the bimodal aspects of these pieces provides us with a more concise holistic understanding of the artist?s purpose.
Harrison, L. "Music analysis and musical perception : studies in the psychology of musical structure." Thesis, Lancaster University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328316.
Повний текст джерелаDe, Paiva Santana Charles. "The Musical Piece as an Instance : essays in Computer-Aided Musical Analysis." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066672.
Повний текст джерелаFrom a musicological interpretation of the scientific notion of “modeling and simulation”, this thesis presents an approach for computer-aided analysis where musical scores are reconstructed from algorithmic processes and then simulated with different sets of parameters from which neighbouring variants, called instances, are generated. Studying a musical piece by modelling and simulation means to understand the work by (re)composing it again, blurring boundaries between analytical and creative work. This approach is applied to three case studies: an isolated technique, Pierre Boulez Chord Multiplication, which is explored through the prism formed by the theories of H. Hanson, S. Heinemann and L. Koblyakov; the piece Spectral Canon for Conlon Nancarrow (1974) by the american James Tenney (1934-2006) to which the computational simulation from different sets of parameters was taken to its ultimate consequences when a “space of instances” is created and strategies of visualisation and exploration are devised; and finally “Disorder”, the first piano study written by austro-hungarian György Ligeti in which the concepts of “combinatorial tonality” and “decomposition prime numbers”, applied to durations, are used to maximize the potential that a model has to produce different variations of the original piece
De, Paiva Santana Charles. "The Musical Piece as an Instance : essays in Computer-Aided Musical Analysis." Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066672.
Повний текст джерелаFrom a musicological interpretation of the scientific notion of “modeling and simulation”, this thesis presents an approach for computer-aided analysis where musical scores are reconstructed from algorithmic processes and then simulated with different sets of parameters from which neighbouring variants, called instances, are generated. Studying a musical piece by modelling and simulation means to understand the work by (re)composing it again, blurring boundaries between analytical and creative work. This approach is applied to three case studies: an isolated technique, Pierre Boulez Chord Multiplication, which is explored through the prism formed by the theories of H. Hanson, S. Heinemann and L. Koblyakov; the piece Spectral Canon for Conlon Nancarrow (1974) by the american James Tenney (1934-2006) to which the computational simulation from different sets of parameters was taken to its ultimate consequences when a “space of instances” is created and strategies of visualisation and exploration are devised; and finally “Disorder”, the first piano study written by austro-hungarian György Ligeti in which the concepts of “combinatorial tonality” and “decomposition prime numbers”, applied to durations, are used to maximize the potential that a model has to produce different variations of the original piece
Ahnlund, Josefin. "Statistical Analysis of Conductor-Musician Interaction : With a Focus on Musical Expression." Thesis, KTH, Datorseende och robotik, CVAP, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187755.
Повний текст джерелаInteraktionen mellan en dirigent och musiker under ett musikframförande är en unik instans av mänsklig icke-verbal kommunikation. Denna “musikproduktionsprocess” (MPP) utgör därför ett intressant forskningsområde, både ur ett kommunikationsperspektiv såväl som i sin egen rätt. Det långsiktiga målet med detta projekt är att modellera MPP:n med maskininlärningsmetoder, vilket skulle kräva stora mängder data. Då den tillgängliga datamängden härstammar från ett enstaka inspelningstillfälle (KTH, maj 2014) är en direkt modellering av MPP:n inom detta examensarbete ej möjlig. Arbetet bör istället betraktas som ett pilotprojekt som undersöker förutsättningar för att modellera MPP:n. Huvudfokuset för detta examensarbete är att undersöka hur musikaliskt uttryck kan fångas i modelleringen av MPP:n. Två experiment och en teoretisk utredning av MPP:n utförs i detta syfte. Det första experimentet utgörs av HMM-klassificering av ljud, representerat av expressiva tonparametrar framtagna genom CUEX-algoritmen och uppmärkt med fyra olika känslor. Detta experiment kompletterar den tidigare genomförda klassificeringen av dirigentrörelse i en GP-LVM representation av Kelly Karipidou på samma datamängd. Resultatet av klassificeringen bevisar implicit att musikaliskt uttryck överförts från dirigent till musiker. Då det första experimentet undersöker musikaliskt uttrycköver musikstycket i sin helhet är målet för det andra experimentet att undersöka överföringen av musikaliskt uttryck från dirigent till musiker på en lokal nivå. För detta syfte tas lokala representationer för ljud och dirigentrörelse fram, separabiliteten mellan de fyra känslorna kalkyleras via Bhattacharyya-avståndet och resultaten jämförs på jakt efter korrelation. Vissa indikationer på korrelation mellan representationerna för ljud och dirigentrörelse kan iakttas. Slutsatsen är dock att de tillämpade representationerna för dirigentrörelse inte fångar musikaliskt uttryck i tillräckligt hög grad.
Harper-Scott, J. P. E. "Elgar's musical language : analysis, hermeneutics, humanity." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402979.
Повний текст джерелаHellaby, Julian. "Musical performance : a framework for analysis." Thesis, Birmingham City University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441553.
Повний текст джерелаRenfrew, Mary Claire. "Exploring the 'I' in musician : investigating musical identities of professional orchestral musicians." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/29570.
Повний текст джерелаКниги з теми "Musical analysis"
White, John David. Comprehensive musical analysis. Landham, Md: Scarecrow Press, 2003.
Знайти повний текст джерелаEssays in musical analysis. Oxford [England]: Oxford University Press, 1989.
Знайти повний текст джерелаBurkhart, Charles. Anthology for musical analysis. 4th ed. New York: Holt, Rinehart and Winston, 1986.
Знайти повний текст джерелаFrancis, Tovey Donald. Essays in musical analysis. Oxford [England]: Oxford University Press, 1989.
Знайти повний текст джерелаT, Hutcheson Jere, ed. Musical form and analysis. Madison, Wis: Brown & Benchmark, 1995.
Знайти повний текст джерелаKaufman, Shelemay Kay, ed. Cross-cultural musical analysis. New York: Garland, 1990.
Знайти повний текст джерелаMathes, James R. The Analysis of Musical Form. Upper Saddle River, NJ: Prentice Hall, 2006.
Знайти повний текст джерелаCook, Nicholas. Musical analysis and the listener. New York: Garland Pub, 1989.
Знайти повний текст джерелаCook, Nicholas. A guide to musical analysis. London: J.M. Dent, 1987.
Знайти повний текст джерелаCook, Nicholas. A guide to musical analysis. London: Dent, 1987.
Знайти повний текст джерелаЧастини книг з теми "Musical analysis"
Neuwirth, Markus. "Musical Analysis." In The Routledge Handbook of Music and Migration, 128–30. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003309437-32.
Повний текст джерелаLehman, Frank. "Analyzing Musical Metamorphoses." In Film Music Analysis, 173–201. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003001171-9.
Повний текст джерелаChe, Rui, Xingda Li, Dongfang Li, and Yujing Guan. "Musical Intelligence Analysis." In Recent Advances in Computer Science and Information Engineering, 671–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25792-6_102.
Повний текст джерелаBeach, David. "Schenker’s Conception of Musical Structure." In Schenkerian Analysis, 3–27. Second edition. | New York ; London : Routledge, 2019. | Previous edition published under title: Advanced Schenkerian analysis.: Routledge, 2019. http://dx.doi.org/10.4324/9780429453793-1.
Повний текст джерелаSethares, William A. "Consonance-Based Musical Analysis." In Tuning, Timbre, Spectrum, Scale, 189–210. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-4177-8_9.
Повний текст джерелаGiraud, Mathieu, Richard Groult, and Florence Levé. "Computational Analysis of Musical Form." In Computational Music Analysis, 113–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25931-4_5.
Повний текст джерелаSaint-Dizier, Patrick. "A Rhetoric Analysis of Musical Works." In Musical Rhetoric, 127–66. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119004998.ch5.
Повний текст джерелаDickensheets, Janice. "Narrative Analysis, the Sonata Cycle and Implications for Performance." In Musical Topics and Musical Performance, 124–49. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003218340-7.
Повний текст джерелаGodøy, Rolf Inge. "Chunking Sound for Musical Analysis." In Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music, 67–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02518-1_4.
Повний текст джерелаMaddage, Namunu Chinthaka, Changsheng Xu, Chin-Hui Lee, Mohan Kankanhalli, and Qi Tian. "Statistical Analysis of Musical Instruments." In Advances in Multimedia Information Processing — PCM 2002, 581–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_72.
Повний текст джерелаТези доповідей конференцій з теми "Musical analysis"
Poon Chong, Peter, and Terrence Lalla. "APPLYING FUZZY QFD MCDM TO EVALUATE MUSICAL INSTRUMENTS." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/bgmj4037.
Повний текст джерелаMalik, Rakesh, Partha Pratim Roy, Umapada Pal, and Fumitaka Kimura. "Handwritten Musical Document Retrieval Using Music-Score Spotting." In 2013 12th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2013. http://dx.doi.org/10.1109/icdar.2013.170.
Повний текст джерелаKuuskankare, Mika. "Towards Real-time Score Analysis in PWGL." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcm.2021.19424.
Повний текст джерелаMagalhaes, Tairone, Felippe Barros, and Maurício Loureiro. "Iracema: a Python library for audio content analysis." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10418.
Повний текст джерелаSouza, Mila Soares de Oliveira de, Pedro Nuno de Souza Moura, and Jean-Pierre Briot. "Tempo estimation via neural networks - a comparative analysis." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcm.2021.19420.
Повний текст джерелаFolorunso, S. O., O. O. Banjo, J. B. Awotunde, and F. E. Ayo. "Machine Learning Analysis of Music Based on Music Information Retrieval Tasks." In International Workshop on Social Impact of AI for Africa 2022. AIJR Publisher, 2024. http://dx.doi.org/10.21467/proceedings.157.3.
Повний текст джерелаLee, Jong In, Dong-Gyu Yeo, Byeong Man Kim, and Hae-Yeoun Lee. "Automatic Music Mood Detection through Musical Structure Analysis." In 2009 2nd International Conference on Computer Science and its Applications (CSA). IEEE, 2009. http://dx.doi.org/10.1109/csa.2009.5404218.
Повний текст джерелаFerreira, Leonardo, Estela Ribeiro, and Carlos Thomaz. "A cluster analysis of benchmark acoustic features on Brazilian music." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10444.
Повний текст джерелаGonzález, Yubiry, and Ronaldo Prati. "Characterization of the sonority associated to woodwinds instruments through spectral analysis." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10452.
Повний текст джерелаCostalonga, Leandro, Daniel Coura, Marcus Vinícius Das Neves, Fabiano Costa, and Helder Rocha. "NESCoM Research Report (2019)." In Simpósio Brasileiro de Computação Musical. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbcm.2019.10437.
Повний текст джерелаЗвіти організацій з теми "Musical analysis"
Zuo, Lingyan, Fengting Zhu, Rui Wang, Hongyan Shuai, and Xin Yu. Music intervention affects the quality of life on Alzheimer’s disease: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0055.
Повний текст джерелаHagel, Stefan. Understanding early auloi: Instruments from Paestum, Pydna and elsewhere. Verlag der Österreichischen Akademie der Wissenschaften, October 2021. http://dx.doi.org/10.1553/oeai_ambh_3.
Повний текст джерелаManhiça, Anésio, Alex Shankland, Kátia Taela, Euclides Gonçalves, Catija Maivasse, and Mariz Tadros. Alternative Expressions of Citizen Voices: The Protest Song and Popular Engagements with the Mozambican State. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/ids.2020.001.
Повний текст джерелаHeynderickx, Haley. A Musical Analysis of the Past: America is in the Heart by Carlos Bulosan Re-told through the Craft of Folk Songs. Portland State University Library, January 2015. http://dx.doi.org/10.15760/honors.179.
Повний текст джерелаWang, Xiao, Hong Shen, Yujie Liang, Yixin Wang, Meiqi Zhang, and Hongtao Ma. Effectiveness of Tango Intervention on Motor Symptoms in Patients with Parkinson's Disease: A Protocol for Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0009.
Повний текст джерелаBuene, Eivind. Intimate Relations. Norges Musikkhøgskole, August 2018. http://dx.doi.org/10.22501/nmh-ar.481274.
Повний текст джерелаMöllenkamp, Andreas. Paradigms of Music Software Development. Staatliches Institut für Musikforschung, December 2014. http://dx.doi.org/10.25366/2022.99.
Повний текст джерелаSedeño Valdellós, A., J. Rodríguez López, and SR Acuña. The post-television music video. A methodological proposal and aesthetic analysis. Revista Latina de Comunicación Social, March 2016. http://dx.doi.org/10.4185/rlcs-2016-1098en.
Повний текст джерелаFlanagan, Aidan, and Robert Weldon. Overview of MUSiC and Neutron Multiplicity Counting Analysis with the NoMAD Detector. Office of Scientific and Technical Information (OSTI), August 2023. http://dx.doi.org/10.2172/1994106.
Повний текст джерелаБілоус, О. С. Український фольклор як засіб морально-естетичного становлення особистості школяра. ПДПУ ім. К. Д. Ушинського, 2002. http://dx.doi.org/10.31812/123456789/3317.
Повний текст джерела